schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
|---|---|---|---|---|
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what was the first time that the sao2 of patient 017-9785 was, , greater than 88.0? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-9785')) AND vitalperiodic.sao2 > 88.0 AND NOT vitalperiodic.sao2 IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-9785' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."sao2" > 88.0 AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."observationtime" FETCH FIRST 1 ROWS ONLY | 0.642578 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| since 1409 days ago, has patient 25814's arterial bp [systolic] been ever greater than 113.0? | SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25814)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum > 113.0 AND DATETIME(chartevents.charttime) >= DATETIME(CURRENT_TIME(), '-1409 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25814 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" > 113.0 AND DATETIME("chartevents"."charttime") >= DATETIME(CURRENT_TIME(), '-1409 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.776367 |
CREATE TABLE table_name_63 (years_at_club VARCHAR2, goals VARCHAR2, date_of_birth VARCHAR2)
| What is the years at the club of the player with 2 goals and was born on 23 July 1910? | SELECT years_at_club FROM table_name_63 WHERE goals = 2 AND date_of_birth = "23 july 1910" | SELECT "years_at_club" FROM "table_name_63" WHERE "23 july 1910" = "date_of_birth" AND "goals" = 2 | 0.095703 |
CREATE TABLE table_57661 ("Edition" FLOAT, "Zone" CLOB, "Round" CLOB, "Date" CLOB, "Against" CLOB, "Surface" CLOB, "Opponent" CLOB, "Outcome" CLOB, "Result" CLOB)
| What zone was the Semifinal game played against Israel with Anna Smashnova as the opponent? | SELECT "Zone" FROM table_57661 WHERE "Round" = 'semifinal' AND "Against" = 'israel' AND "Opponent" = 'anna smashnova' | SELECT "Zone" FROM "table_57661" WHERE "Against" = 'israel' AND "Opponent" = 'anna smashnova' AND "Round" = 'semifinal' | 0.116211 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, return a bar chart about the distribution of job_id and the average of employee_id , and group by attribute job_id. | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID | SELECT "JOB_ID", AVG("EMPLOYEE_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" | 0.22168 |
CREATE TABLE table_36129 ("Games" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goal difference" CLOB, "Points" FLOAT)
| What is the average number of games associated with 6 points and under 2 losses? | SELECT AVG("Games") FROM table_36129 WHERE "Points" = '6' AND "Lost" < '2' | SELECT AVG("Games") FROM "table_36129" WHERE "Lost" < '2' AND "Points" = '6' | 0.074219 |
CREATE TABLE table_22786 ("Match no." FLOAT, "Match Type" CLOB, "Team Europe" CLOB, "Score" CLOB, "Team USA" CLOB, "Progressive Total" CLOB)
| What was the score at the end of the match number 4? | SELECT "Score" FROM table_22786 WHERE "Match no." = '4' | SELECT "Score" FROM "table_22786" WHERE "Match no." = '4' | 0.055664 |
CREATE TABLE table_649 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB, "Attendance" FLOAT)
| Name the record for september 15, 1985 | SELECT "Record" FROM table_649 WHERE "Date" = 'September 15, 1985' | SELECT "Record" FROM "table_649" WHERE "Date" = 'September 15, 1985' | 0.066406 |
CREATE TABLE table_61700 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" FLOAT, "Money ( $ ) " FLOAT)
| Which To par has a Score of 78-74-71-75=298? | SELECT AVG("To par") FROM table_61700 WHERE "Score" = '78-74-71-75=298' | SELECT AVG("To par") FROM "table_61700" WHERE "Score" = '78-74-71-75=298' | 0.071289 |
CREATE TABLE table_203_447 (id NUMBER, "constituency" NUMBER, "region" CLOB, "name" CLOB, "party" CLOB, "last elected" NUMBER)
| how many total consituency are listed in the table ? | SELECT COUNT(DISTINCT "constituency") FROM table_203_447 | SELECT COUNT(DISTINCT "constituency") FROM "table_203_447" | 0.056641 |
CREATE TABLE table_19361 ("Number" FLOAT, "Name of administrative unit" CLOB, "Telephone ( 052 ) " CLOB, "Area ( km 2 ) " CLOB, "Population ( people ) " FLOAT)
| Name the number of administrative unit for number 4 | SELECT "Name of administrative unit" FROM table_19361 WHERE "Number" = '4' | SELECT "Name of administrative unit" FROM "table_19361" WHERE "Number" = '4' | 0.074219 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many inpatient hospital admitted patients have procedure icd9 code 9925? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND procedures.icd9_code = "9925" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9925" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location" | 0.241211 |
CREATE TABLE submission (Submission_ID NUMBER, Scores FLOAT, Author CLOB, College CLOB)
CREATE TABLE workshop (Workshop_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB)
CREATE TABLE Acceptance (Submission_ID NUMBER, Workshop_ID NUMBER, Result CLOB)
| Give me a histogram for how many workshops did each author submit to? Return the author name and the number of workshops, display by the x-axis from low to high. | SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY Author | SELECT "Author", COUNT(DISTINCT "T1"."Workshop_ID") FROM "Acceptance" "T1" JOIN "submission" "T2" ON "T1"."Submission_ID" = "T2"."Submission_ID" ORDER BY "Author" | 0.158203 |
CREATE TABLE table_73379 ("Round" FLOAT, "Circuit" CLOB, "Date" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning Driver" CLOB, "Winning Team" CLOB)
| Who was the driver for the winning team Lawson Team Impul? | SELECT "Winning Driver" FROM table_73379 WHERE "Winning Team" = 'Lawson Team Impul' | SELECT "Winning Driver" FROM "table_73379" WHERE "Winning Team" = 'Lawson Team Impul' | 0.083008 |
CREATE TABLE table_417 ("Symbol" CLOB, "Description" CLOB, "Success" CLOB, "Date of completion" CLOB, "Deadline for completion" CLOB)
| what's the date of completion where success is yes | SELECT "Date of completion" FROM table_417 WHERE "Success" = 'Yes' | SELECT "Date of completion" FROM "table_417" WHERE "Success" = 'Yes' | 0.066406 |
CREATE TABLE table_76487 ("Rank" FLOAT, "Club" CLOB, "Winners" FLOAT, "Runners-up" FLOAT, "Third" FLOAT)
| How many Winners have a Third of 1, and Runners-up smaller than 0? | SELECT COUNT("Winners") FROM table_76487 WHERE "Third" = '1' AND "Runners-up" < '0' | SELECT COUNT("Winners") FROM "table_76487" WHERE "Runners-up" < '0' AND "Third" = '1' | 0.083008 |
CREATE TABLE table_name_98 (rank VARCHAR2, nation VARCHAR2, places VARCHAR2, points VARCHAR2)
| Tell me the total number of rank for places less than 94 and points less than 169.8 for japan | SELECT COUNT(rank) FROM table_name_98 WHERE places < 94 AND points < 169.8 AND nation = "japan" | SELECT COUNT("rank") FROM "table_name_98" WHERE "japan" = "nation" AND "places" < 94 AND "points" < 169.8 | 0.102539 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what are the three most frequently prescribed drugs for patients, who were also prescribed succinylcholine at the same time, until 1 year ago? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'succinylcholine' AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime") <= DATETIME(CURRENT_TIME(), '-1 year')), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'succinylcholine' AND DATETIME("medication"."drugstarttime") <= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.801758 |
CREATE TABLE table_42410 ("City of license" CLOB, "Identifier" CLOB, "Frequency" CLOB, "Power" CLOB, "Class" CLOB, "RECNet" CLOB)
| What is Power, when Identifier is CBEB-FM? | SELECT "Power" FROM table_42410 WHERE "Identifier" = 'cbeb-fm' | SELECT "Power" FROM "table_42410" WHERE "Identifier" = 'cbeb-fm' | 0.0625 |
CREATE TABLE table_56020 ("Name" CLOB, "Bodyweight" FLOAT, "Snatch" FLOAT, "Clean & jerk" FLOAT, "Total ( kg ) " FLOAT)
| What is the sum Total (kg) associated with a Snatch less than 110, and a Clean & jerk larger than 120? | SELECT SUM("Total (kg)") FROM table_56020 WHERE "Snatch" < '110' AND "Clean & jerk" > '120' | SELECT SUM("Total (kg)") FROM "table_56020" WHERE "Clean & jerk" > '120' AND "Snatch" < '110' | 0.09082 |
CREATE TABLE table_705 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| what's result with incumbent being connie mack | SELECT "Result" FROM table_705 WHERE "Incumbent" = 'Connie Mack' | SELECT "Result" FROM "table_705" WHERE "Incumbent" = 'Connie Mack' | 0.064453 |
CREATE TABLE table_2701851_5 (production_code VARCHAR2, no_in_series VARCHAR2)
| How many production codes did the episode number in series 46b have? | SELECT COUNT(production_code) FROM table_2701851_5 WHERE no_in_series = "46b" | SELECT COUNT("production_code") FROM "table_2701851_5" WHERE "46b" = "no_in_series" | 0.081055 |
CREATE TABLE people (people_id NUMBER, name CLOB, height NUMBER, weight NUMBER, date_of_birth CLOB)
CREATE TABLE entrepreneur (entrepreneur_id NUMBER, people_id NUMBER, company CLOB, money_requested NUMBER, investor CLOB)
| List the companies of entrepreneurs in descending order of money requested. | SELECT company FROM entrepreneur ORDER BY money_requested DESC | SELECT "company" FROM "entrepreneur" ORDER BY "money_requested" DESC | 0.066406 |
CREATE TABLE table_72951 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Results" CLOB, "Candidates" CLOB)
| How many times was Mike McIntyre elected? | SELECT COUNT("Results") FROM table_72951 WHERE "Incumbent" = 'Mike McIntyre' | SELECT COUNT("Results") FROM "table_72951" WHERE "Incumbent" = 'Mike McIntyre' | 0.076172 |
CREATE TABLE table_60460 ("Member" CLOB, "Party" CLOB, "Electorate" CLOB, "State" CLOB, "First elected" FLOAT)
| When was H.B. Higgins first elected? | SELECT "First elected" FROM table_60460 WHERE "Member" = 'h.b. higgins' | SELECT "First elected" FROM "table_60460" WHERE "Member" = 'h.b. higgins' | 0.071289 |
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
| show me all flights from DENVER to BURBANK | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BURBANK' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BURBANK' | 0.481445 |
CREATE TABLE table_26240046_1 (first_appearance VARCHAR2, played_by VARCHAR2)
| What is the first appearance of the character played by Obdul Reid? | SELECT first_appearance FROM table_26240046_1 WHERE played_by = "Obdul Reid" | SELECT "first_appearance" FROM "table_26240046_1" WHERE "Obdul Reid" = "played_by" | 0.080078 |
CREATE TABLE table_name_53 (competition VARCHAR2, date VARCHAR2)
| What Competition had a game on October 31, 1979? | SELECT competition FROM table_name_53 WHERE date = "october 31, 1979" | SELECT "competition" FROM "table_name_53" WHERE "date" = "october 31, 1979" | 0.073242 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose year of birth is less than 2058 and diagnoses short title is stevens-johnson-ten syn? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dob_year < "2058" AND diagnoses.short_title = "Stevens-Johnson-TEN syn" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Stevens-Johnson-TEN syn" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2058" > "demographic"."dob_year" | 0.228516 |
CREATE TABLE table_202_85 (id NUMBER, "club" CLOB, "league" CLOB, "sport" CLOB, "venue" CLOB, "established" NUMBER, "championships" CLOB)
| which of the madison sports teams was established first ? | SELECT "club" FROM table_202_85 ORDER BY "established" LIMIT 1 | SELECT "club" FROM "table_202_85" ORDER BY "established" FETCH FIRST 1 ROWS ONLY | 0.078125 |
CREATE TABLE table_60455 ("Tournament" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB)
| What is Tournament, when 2003 is 'A'? | SELECT "Tournament" FROM table_60455 WHERE "2003" = 'a' | SELECT "Tournament" FROM "table_60455" WHERE "2003" = 'a' | 0.055664 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| Provide the number of patients who were admitted before the year 2146 and had procedure short title as cardiopulm resuscita nos. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2146" AND procedures.short_title = "Cardiopulm resuscita NOS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Cardiopulm resuscita NOS" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2146" > "demographic"."admityear" | 0.233398 |
CREATE TABLE table_48337 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" FLOAT, "To par" CLOB)
| Which player(s) is from South Africa? | SELECT "Player" FROM table_48337 WHERE "Country" = 'south africa' | SELECT "Player" FROM "table_48337" WHERE "Country" = 'south africa' | 0.06543 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| How many of the patients with item id 50960 were admitted before the year 2152? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2152" AND lab.itemid = "50960" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50960" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2152" > "demographic"."admityear" | 0.189453 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
| how much is an economy ticket from WASHINGTON to SAN FRANCISCO on 9 30 | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis AS FARE_BASIS_0, fare_basis AS FARE_BASIS_1, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND DATE_DAY_1.day_number = 30 AND DATE_DAY_1.month_number = 9 AND DATE_DAY_1.year = 1991 AND DAYS_1.day_name = DATE_DAY_1.day_name AND flight.flight_days = DAYS_1.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND DATE_DAY_0.day_number = 30 AND DATE_DAY_0.month_number = 9 AND DATE_DAY_0.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND FARE_BASIS_1.basis_days = DAYS_0.days_code AND fare.fare_basis_code = FARE_BASIS_1.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND FARE_BASIS_0.economy = 'YES' AND fare.fare_basis_code = FARE_BASIS_0.fare_basis_code | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" "DATE_DAY_0" ON "DATE_DAY_0"."day_number" = 30 AND "DATE_DAY_0"."month_number" = 9 AND "DATE_DAY_0"."year" = 1991 JOIN "date_day" "DATE_DAY_1" ON "DATE_DAY_1"."day_number" = 30 AND "DATE_DAY_1"."month_number" = 9 AND "DATE_DAY_1"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "days" "DAYS_0" ON "DATE_DAY_0"."day_name" = "DAYS_0"."day_name" JOIN "days" "DAYS_1" ON "DATE_DAY_1"."day_name" = "DAYS_1"."day_name" JOIN "fare_basis" "FARE_BASIS_1" ON "DAYS_0"."days_code" = "FARE_BASIS_1"."basis_days" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "DAYS_1"."days_code" = "flight"."flight_days" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "fare" ON "FARE_BASIS_1"."fare_basis_code" = "fare"."fare_basis_code" AND "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" "FARE_BASIS_0" ON "FARE_BASIS_0"."economy" = 'YES' AND "FARE_BASIS_0"."fare_basis_code" = "fare"."fare_basis_code" | 1.330078 |
CREATE TABLE table_name_1 (year NUMBER, bronze VARCHAR2)
| What is listed as the highest Year that's also got a Bronze of Wataru Haraguchi? | SELECT MAX(year) FROM table_name_1 WHERE bronze = "wataru haraguchi" | SELECT MAX("year") FROM "table_name_1" WHERE "bronze" = "wataru haraguchi" | 0.072266 |
CREATE TABLE table_6767 ("SANSKRT" CLOB, "CHINESE" CLOB, "VIETNAMESE" CLOB, "JAPANESE" CLOB, "KOREAN" CLOB)
| Which SANSKRT has a CHINESE of / m n lu ? | SELECT "SANSKRT" FROM table_6767 WHERE "CHINESE" = '摩拏羅 / mónáluó' | SELECT "SANSKRT" FROM "table_6767" WHERE "CHINESE" = '摩拏羅 / mónáluó' | 0.066406 |
CREATE TABLE table_22800 ("Year" CLOB, "League" CLOB, "Reg. Season" CLOB, "Playoffs" CLOB, "Owner ( s ) " CLOB, "Avg. Attendance" FLOAT)
| in the year 1995/96 what was the reg. season | SELECT "Reg. Season" FROM table_22800 WHERE "Year" = '1995/96' | SELECT "Reg. Season" FROM "table_22800" WHERE "Year" = '1995/96' | 0.0625 |
CREATE TABLE table_204_788 (id NUMBER, "pos" CLOB, "no" NUMBER, "driver" CLOB, "constructor" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER, "points" NUMBER)
| which driver did not score less than 7 points ? | SELECT "driver" FROM table_204_788 WHERE "points" >= 7 | SELECT "driver" FROM "table_204_788" WHERE "points" >= 7 | 0.054688 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose ethnicity is black/haitian and drug route is ed? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND prescriptions.route = "ED" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "ED" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "BLACK/HAITIAN" = "demographic"."ethnicity" | 0.223633 |
CREATE TABLE table_name_84 (date VARCHAR2, winning_score VARCHAR2)
| What is the date that has a winning score of 67-70-68-67=272? | SELECT date FROM table_name_84 WHERE winning_score = 67 - 70 - 68 - 67 = 272 | SELECT "date" FROM "table_name_84" WHERE "winning_score" = FALSE | 0.0625 |
CREATE TABLE table_name_57 (record VARCHAR2, method VARCHAR2)
| What was his record when the method was technical submission (forearm choke)? | SELECT record FROM table_name_57 WHERE method = "technical submission (forearm choke)" | SELECT "record" FROM "table_name_57" WHERE "method" = "technical submission (forearm choke)" | 0.089844 |
CREATE TABLE table_train_280 ("id" NUMBER, "fpg" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "renal_disease" BOOLEAN, "hba1c" FLOAT, "body_mass_index_bmi" FLOAT, "NOUSE" FLOAT)
| subjects should have fpg in the range of 6 to 11 mmol / l at screening and hba1c less than 10 % ( hba1c value according to international dcct standard ) . | SELECT * FROM table_train_280 WHERE fpg >= 6 AND fpg <= 11 AND hemoglobin_a1c_hba1c < 10 | SELECT * FROM "table_train_280" WHERE "fpg" <= 11 AND "fpg" >= 6 AND "hemoglobin_a1c_hba1c" < 10 | 0.09375 |
CREATE TABLE table_61081 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What is the Tie no when Swansea City is the Away team with a Score of 2 2? | SELECT "Tie no" FROM table_61081 WHERE "Score" = '2–2' AND "Away team" = 'swansea city' | SELECT "Tie no" FROM "table_61081" WHERE "Away team" = 'swansea city' AND "Score" = '2–2' | 0.086914 |
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
| A bar chart for giveing me the number of the descriptions of the service types that cost more than 100. | SELECT Service_Type_Description, COUNT(Service_Type_Description) FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Price > 100 GROUP BY Service_Type_Description | SELECT "Service_Type_Description", COUNT("Service_Type_Description") FROM "Ref_Service_Types" "T1" JOIN "Services" "T2" ON "T1"."Service_Type_Code" = "T2"."Service_Type_Code" AND "T2"."Product_Price" > 100 GROUP BY "Service_Type_Description" | 0.235352 |
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| Who are the experts in Python ?. | SELECT Id, Reputation, DisplayName, WebsiteUrl, total FROM Users LEFT JOIN (SELECT OwnerUserId, COUNT(*) AS total FROM (SELECT OwnerUserId, PostTypeId FROM Posts WHERE PostTypeId = 2 AND ParentId IN (SELECT PostId FROM PostTags WHERE TagId = (SELECT Id FROM Tags WHERE TagName = '##TagName##'))) AS T GROUP BY OwnerUserId) AS F ON Id = OwnerUserId WHERE total >= 2 ORDER BY total DESC, Reputation DESC | WITH "F" AS (SELECT MAX(1) AS "_" FROM "Posts" WHERE "ParentId" IN (SELECT "PostId" FROM "PostTags" WHERE "TagId" = (SELECT "Id" FROM "Tags" WHERE "TagName" = '##TagName##')) AND "PostTypeId" = 2 GROUP BY "OwnerUserId") SELECT "Id", "Reputation", "DisplayName", "WebsiteUrl", "total" FROM "Users" LEFT JOIN "F" "F" ON "Id" = "OwnerUserId" WHERE "total" >= 2 ORDER BY "total" DESC, "Reputation" DESC | 0.388672 |
CREATE TABLE table_63530 ("Club" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| What are the most wins of Terang with the draws less than 0? | SELECT MAX("Wins") FROM table_63530 WHERE "Club" = 'terang' AND "Draws" < '0' | SELECT MAX("Wins") FROM "table_63530" WHERE "Club" = 'terang' AND "Draws" < '0' | 0.077148 |
CREATE TABLE table_name_83 (years_in_toronto VARCHAR2, player VARCHAR2)
| How long has Sebastian Telfair played for Toronto? | SELECT years_in_toronto FROM table_name_83 WHERE player = "sebastian telfair" | SELECT "years_in_toronto" FROM "table_name_83" WHERE "player" = "sebastian telfair" | 0.081055 |
CREATE TABLE table_56969 ("Track" FLOAT, "Title" CLOB, "Translation" CLOB, "Composer" CLOB, "Recorded" CLOB)
| Which recording has a Track larger than 2, and a Translation of the last meal? | SELECT "Recorded" FROM table_56969 WHERE "Track" > '2' AND "Translation" = 'the last meal' | SELECT "Recorded" FROM "table_56969" WHERE "Track" > '2' AND "Translation" = 'the last meal' | 0.089844 |
CREATE TABLE table_5067 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the sum of Game on february 28? | SELECT SUM("Game") FROM table_5067 WHERE "Date" = 'february 28' | SELECT SUM("Game") FROM "table_5067" WHERE "Date" = 'february 28' | 0.063477 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients less than 41 years for whom urine lab test was ordered. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "41" AND lab.fluid = "Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Urine" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "41" > "demographic"."age" | 0.180664 |
CREATE TABLE table_name_41 (entrant VARCHAR2, year NUMBER)
| Who was the entrant before 1988? | SELECT entrant FROM table_name_41 WHERE year < 1988 | SELECT "entrant" FROM "table_name_41" WHERE "year" < 1988 | 0.055664 |
CREATE TABLE table_20898602_1 (player VARCHAR2, status VARCHAR2, position VARCHAR2)
| how many players played running back where status is made 53-man roster at start of 2009 season | SELECT COUNT(player) FROM table_20898602_1 WHERE status = "Made 53-man roster at start of 2009 season" AND position = "Running back" | SELECT COUNT("player") FROM "table_20898602_1" WHERE "Made 53-man roster at start of 2009 season" = "status" AND "Running back" = "position" | 0.136719 |
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| show me the flights from INDIANAPOLIS to MONTREAL | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'INDIANAPOLIS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MONTREAL' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'INDIANAPOLIS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MONTREAL' | 0.488281 |
CREATE TABLE table_32361 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which Away team has a Home team of Collingwood? | SELECT "Away team" FROM table_32361 WHERE "Home team" = 'collingwood' | SELECT "Away team" FROM "table_32361" WHERE "Home team" = 'collingwood' | 0.069336 |
CREATE TABLE table_23791 ("shareholder name" CLOB, "A shares" FLOAT, "B shares" FLOAT, "% of capital" CLOB, "% of votes" CLOB)
| What shareholders have 0 A shares? | SELECT "shareholder name" FROM table_23791 WHERE "A shares" = '0' | SELECT "shareholder name" FROM "table_23791" WHERE "A shares" = '0' | 0.06543 |
CREATE TABLE table_name_28 (date VARCHAR2, away_team VARCHAR2)
| What date was Richmond the away team? | SELECT date FROM table_name_28 WHERE away_team = "richmond" | SELECT "date" FROM "table_name_28" WHERE "away_team" = "richmond" | 0.063477 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose death status is 0 and procedure icd9 code is 9744? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.icd9_code = "9744" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9744" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.210938 |
CREATE TABLE table_26265 ("Local Government Area" CLOB, "Type" CLOB, "Major Town" CLOB, "Land Area ( km\\u00b2 ) " CLOB, "Pop. 2006" FLOAT, "Density km \\u22122" FLOAT, "Towns" FLOAT, "Est." FLOAT)
| On what year was the local government area with a surface of 4563 square kilometers established? | SELECT "Est." FROM table_26265 WHERE "Land Area (km\u00b2)" = '4563' | SELECT "Est." FROM "table_26265" WHERE "Land Area (km\u00b2)" = '4563' | 0.068359 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| when did patient 010-32698 have his or her last surgical procedure? | SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-32698')) ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-32698' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "treatment"."treatmenttime" FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" DESC FETCH FIRST 1 ROWS ONLY | 0.557617 |
CREATE TABLE table_25058562_2 (height VARCHAR2, player VARCHAR2)
| Name the height for asko esna | SELECT height FROM table_25058562_2 WHERE player = "Asko Esna" | SELECT "height" FROM "table_25058562_2" WHERE "Asko Esna" = "player" | 0.066406 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| count the number of patients whose diagnoses icd9 code is 135 and lab test abnormal status is abnormal? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "135" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "135" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.251953 |
CREATE TABLE table_train_211 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "hiv_infection" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "body_mass_index_bmi" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| adults aged 18 to 65 years of age | SELECT * FROM table_train_211 WHERE age >= 18 OR age <= 65 | SELECT * FROM "table_train_211" WHERE "age" <= 65 OR "age" >= 18 | 0.0625 |
CREATE TABLE table_14868 ("Year" FLOAT, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| What is the average year with Nathan Robertson Gail Emms in mixed doubles? | SELECT AVG("Year") FROM table_14868 WHERE "Mixed doubles" = 'nathan robertson gail emms' | SELECT AVG("Year") FROM "table_14868" WHERE "Mixed doubles" = 'nathan robertson gail emms' | 0.087891 |
CREATE TABLE table_32162 ("Region" CLOB, "Date" FLOAT, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| Tell me the catalog for date larger than 2004 | SELECT "Catalog" FROM table_32162 WHERE "Date" > '2004' | SELECT "Catalog" FROM "table_32162" WHERE "Date" > '2004' | 0.055664 |
CREATE TABLE table_26041144_11 (matches NUMBER)
| What is the lowest number of matches for a record holder? | SELECT MIN(matches) FROM table_26041144_11 | SELECT MIN("matches") FROM "table_26041144_11" | 0.044922 |
CREATE TABLE track (Track_ID NUMBER, Name CLOB, Location CLOB, Seating FLOAT, Year_Opened FLOAT)
CREATE TABLE race (Race_ID NUMBER, Name CLOB, Class CLOB, Date CLOB, Track_ID CLOB)
| Create a bar chart showing how many class across class, and list from high to low by the x-axis please. | SELECT Class, COUNT(Class) FROM race GROUP BY Class ORDER BY Class DESC | SELECT "Class", COUNT("Class") FROM "race" GROUP BY "Class" ORDER BY "Class" DESC | 0.079102 |
CREATE TABLE table_1433 ("Year" CLOB, "Event" CLOB, "Pole position time" CLOB, "107% time" CLOB, "Driver" CLOB, "Team" CLOB, "Time" CLOB, "% of pole" CLOB, "Allowed to race?" CLOB)
| How many years have a time of 1:42.086? | SELECT COUNT("Year") FROM table_1433 WHERE "Time" = '1:42.086' | SELECT COUNT("Year") FROM "table_1433" WHERE "Time" = '1:42.086' | 0.0625 |
CREATE TABLE table_name_55 (qual_2 VARCHAR2, qual_1 VARCHAR2)
| What was the qualifying 2 time for the team with a qualifying 1 time of 1:01.630? | SELECT qual_2 FROM table_name_55 WHERE qual_1 = "1:01.630" | SELECT "qual_2" FROM "table_name_55" WHERE "1:01.630" = "qual_1" | 0.0625 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| what are the three most frequently prescribed medicines for patients who had previously received the dx ultrasound-heart in the same month, during the previous year? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'dx ultrasound-heart') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'dx ultrasound-heart' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."startdate" AND DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 1.02832 |
CREATE TABLE table_73003 ("No. overall" FLOAT, "No. in series" FLOAT, "Title" CLOB, "Director" CLOB, "Writer" CLOB, "Original air date" CLOB, "Production code" FLOAT)
| When 'episode 1' is the title what is the overall number? | SELECT "No. overall" FROM table_73003 WHERE "Title" = 'Episode 1' | SELECT "No. overall" FROM "table_73003" WHERE "Title" = 'Episode 1' | 0.06543 |
CREATE TABLE table_name_42 (wins NUMBER, class VARCHAR2, year VARCHAR2)
| Name the Wins which has a Class of 350cc, and a Year smaller than 1973? | SELECT SUM(wins) FROM table_name_42 WHERE class = "350cc" AND year < 1973 | SELECT SUM("wins") FROM "table_name_42" WHERE "350cc" = "class" AND "year" < 1973 | 0.079102 |
CREATE TABLE table_name_10 (attendance NUMBER, result VARCHAR2, week VARCHAR2)
| What was the largest number of people in attendance of the game with a W 14-3 result after week 10? | SELECT MAX(attendance) FROM table_name_10 WHERE result = "w 14-3" AND week > 10 | SELECT MAX("attendance") FROM "table_name_10" WHERE "result" = "w 14-3" AND "week" > 10 | 0.084961 |
CREATE TABLE Customers (Customer_ID NUMBER, Customer_Details VARCHAR2)
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Claims (Claim_ID NUMBER, Policy_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER)
CREATE TABLE Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
CREATE TABLE Settlements (Settlement_ID NUMBER, Claim_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER, Customer_Policy_ID NUMBER)
| For those payments processed with Visa, bin the payment day into Year interval and compute the average amount payment as the Y-axis, sort y axis from high to low order. | SELECT Date_Payment_Made, AVG(Amount_Payment) FROM Payments WHERE Payment_Method_Code = 'Visa' ORDER BY AVG(Amount_Payment) DESC | SELECT "Date_Payment_Made", AVG("Amount_Payment") FROM "Payments" WHERE "Payment_Method_Code" = 'Visa' ORDER BY AVG("Amount_Payment") DESC | 0.134766 |
CREATE TABLE table_8458 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Who is the player with a FB position? | SELECT "Player" FROM table_8458 WHERE "Position" = 'fb' | SELECT "Player" FROM "table_8458" WHERE "Position" = 'fb' | 0.055664 |
CREATE TABLE table_name_53 (silver VARCHAR2, year VARCHAR2)
| Who won Silver in 2000? | SELECT silver FROM table_name_53 WHERE year = 2000 | SELECT "silver" FROM "table_name_53" WHERE "year" = 2000 | 0.054688 |
CREATE TABLE table_19880 ("Series Ep." CLOB, "Episode" FLOAT, "Netflix" CLOB, "Segment A" CLOB, "Segment B" CLOB, "Segment C" CLOB, "Segment D" CLOB)
| What is the series episode where Segment B is popcorn ? | SELECT "Series Ep." FROM table_19880 WHERE "Segment B" = 'Popcorn' | SELECT "Series Ep." FROM "table_19880" WHERE "Segment B" = 'Popcorn' | 0.066406 |
CREATE TABLE table_name_96 (chassis VARCHAR2, rank VARCHAR2)
| Which chassis is ranked 24th? | SELECT chassis FROM table_name_96 WHERE rank = "24th" | SELECT "chassis" FROM "table_name_96" WHERE "24th" = "rank" | 0.057617 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many of the patients diagnosed with sepsis received ed therapy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Sepsis" AND prescriptions.route = "ED" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Sepsis" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "ED" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.280273 |
CREATE TABLE table_4830 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| What week did they have a bye? | SELECT "Week" FROM table_4830 WHERE "Opponent" = 'bye' | SELECT "Week" FROM "table_4830" WHERE "Opponent" = 'bye' | 0.054688 |
CREATE TABLE table_19240 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Ground" CLOB, "Crowd" FLOAT, "Date" CLOB, "Report" CLOB)
| Name the away team score for richmond | SELECT "Away team score" FROM table_19240 WHERE "Away team" = 'Richmond' | SELECT "Away team score" FROM "table_19240" WHERE "Away team" = 'Richmond' | 0.072266 |
CREATE TABLE table_203_200 (id NUMBER, "region" CLOB, "seed" NUMBER, "team" CLOB, "coach" CLOB, "finished" CLOB, "final opponent" CLOB, "score" CLOB)
| who was the only champion ? | SELECT "team" FROM table_203_200 WHERE "finished" = 'champion' | SELECT "team" FROM "table_203_200" WHERE "finished" = 'champion' | 0.0625 |
CREATE TABLE table_name_37 (llws VARCHAR2, year VARCHAR2)
| What is the LLWS when the Year is 2003? | SELECT llws FROM table_name_37 WHERE year = 2003 | SELECT "llws" FROM "table_name_37" WHERE "year" = 2003 | 0.052734 |
CREATE TABLE table_74154 ("Product Name" CLOB, "Form Factor" CLOB, "Storage Medium" CLOB, "Max Usable Capacity ( GB ) " FLOAT, "Speed ( IOPS ) " FLOAT, "Latency ( microseconds ) " FLOAT, "Bandwidth ( GB/s ) " CLOB)
| List the range distroration for the ramsan-630 | SELECT "Form Factor" FROM table_74154 WHERE "Product Name" = 'RamSan-630' | SELECT "Form Factor" FROM "table_74154" WHERE "Product Name" = 'RamSan-630' | 0.073242 |
CREATE TABLE table_65544 ("Rank" FLOAT, "Rowers" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| What are the notes of the United States? | SELECT "Notes" FROM table_65544 WHERE "Country" = 'united states' | SELECT "Notes" FROM "table_65544" WHERE "Country" = 'united states' | 0.06543 |
CREATE TABLE table_name_44 (co_drivers VARCHAR2, laps VARCHAR2, tyres VARCHAR2)
| Which co-driver has fewer than 282 laps and type P tyres? | SELECT co_drivers FROM table_name_44 WHERE laps < 282 AND tyres = "p" | SELECT "co_drivers" FROM "table_name_44" WHERE "laps" < 282 AND "p" = "tyres" | 0.075195 |
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
| Sort the gender codes in descending order of their corresponding number of guests. Return both the gender codes and counts. Show bar chart. | SELECT gender_code, COUNT(*) FROM Guests GROUP BY gender_code ORDER BY COUNT(*) DESC | SELECT "gender_code", COUNT(*) FROM "Guests" GROUP BY "gender_code" ORDER BY COUNT(*) DESC | 0.087891 |
CREATE TABLE event (Event_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB, Event_Attendance NUMBER)
CREATE TABLE news_report (journalist_ID NUMBER, Event_ID NUMBER, Work_Type CLOB)
CREATE TABLE journalist (journalist_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB, Years_working NUMBER)
| Create a pie chart showing total number of age across nationality. | SELECT Nationality, SUM(Age) FROM journalist GROUP BY Nationality | SELECT "Nationality", SUM("Age") FROM "journalist" GROUP BY "Nationality" | 0.071289 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| when was the first time that patient 70645 was admitted to the hospital during the last year? | SELECT admissions.admittime FROM admissions WHERE admissions.subject_id = 70645 AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY admissions.admittime LIMIT 1 | SELECT "admissions"."admittime" FROM "admissions" WHERE "admissions"."subject_id" = 70645 AND DATETIME("admissions"."admittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY | 0.251953 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| the previous year, what are the four most frequent diagnoses? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "diagnoses_icd"."icd9_code"), "_u_0" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_0"."" IS NULL | 0.515625 |
CREATE TABLE table_49460 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| How long did it take for the rider of a Yamaha with a grid less than 8 and laps less than 23? | SELECT "Time" FROM table_49460 WHERE "Manufacturer" = 'yamaha' AND "Grid" < '8' AND "Laps" < '23' | SELECT "Time" FROM "table_49460" WHERE "Grid" < '8' AND "Laps" < '23' AND "Manufacturer" = 'yamaha' | 0.09668 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, a bar chart shows the distribution of headquarter and the sum of price , and group by attribute headquarter, show by the y-axis in descending please. | SELECT Headquarter, SUM(Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY SUM(Price) DESC | SELECT "Headquarter", SUM("Price") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" ORDER BY SUM("Price") DESC | 0.164063 |
CREATE TABLE table_7788 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Ground" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the Home team with a crowd greater than 13,905 on the Telstra Stadium Ground? | SELECT "Home team" FROM table_7788 WHERE "Crowd" > '13,905' AND "Ground" = 'telstra stadium' | SELECT "Home team" FROM "table_7788" WHERE "Crowd" > '13,905' AND "Ground" = 'telstra stadium' | 0.091797 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| tell me the birth date and primary disease of patient caren obrien. | SELECT demographic.dob, demographic.diagnosis FROM demographic WHERE demographic.name = "Caren Obrien" | SELECT "demographic"."dob", "demographic"."diagnosis" FROM "demographic" WHERE "Caren Obrien" = "demographic"."name" | 0.113281 |
CREATE TABLE table_203_611 (id NUMBER, "player" CLOB, "hr" NUMBER, "date reached 500 hr" CLOB, "team" CLOB, "seasons played" CLOB)
| which member of the 500 club has the least amount of home runs ? | SELECT "player" FROM table_203_611 ORDER BY "hr" LIMIT 1 | SELECT "player" FROM "table_203_611" ORDER BY "hr" FETCH FIRST 1 ROWS ONLY | 0.072266 |
CREATE TABLE table_train_152 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "creatinine_clearance_cl" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "total_cholesterol" NUMBER, "urine_protein" NUMBER, "proteinuria" NUMBER, "NOUSE" FLOAT)
| diastolic blood pressure > 90 mm hg at rest | SELECT * FROM table_train_152 WHERE diastolic_blood_pressure_dbp > 90 | SELECT * FROM "table_train_152" WHERE "diastolic_blood_pressure_dbp" > 90 | 0.071289 |
CREATE TABLE table_name_68 (car_spec VARCHAR2, team VARCHAR2, drivers VARCHAR2)
| What is the car specs for team Airwaves BMW's driver Rob Collard? | SELECT car_spec FROM table_name_68 WHERE team = "airwaves bmw" AND drivers = "rob collard" | SELECT "car_spec" FROM "table_name_68" WHERE "airwaves bmw" = "team" AND "drivers" = "rob collard" | 0.095703 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose admission year is less than 2111 and lab test fluid is other body fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2111" AND lab.fluid = "Other Body Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Other Body Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2111" > "demographic"."admityear" | 0.199219 |
CREATE TABLE table_49005 ("Rank" CLOB, "Team" CLOB, "Run 1" CLOB, "Run 2" CLOB, "Run 3" CLOB, "Run 4" CLOB, "Final" CLOB)
| What is Rank, when Run 2 is 2:06.62? | SELECT "Rank" FROM table_49005 WHERE "Run 2" = '2:06.62' | SELECT "Rank" FROM "table_49005" WHERE "Run 2" = '2:06.62' | 0.056641 |
CREATE TABLE debate (Debate_ID NUMBER, Date CLOB, Venue CLOB, Num_of_Audience NUMBER)
CREATE TABLE debate_people (Debate_ID NUMBER, Affirmative NUMBER, Negative NUMBER, If_Affirmative_Win BOOLEAN)
CREATE TABLE people (People_ID NUMBER, District CLOB, Name CLOB, Party CLOB, Age NUMBER)
| Show different parties of people along with the number of people in each party. Plot them as bar chart. | SELECT Party, COUNT(*) FROM people GROUP BY Party | SELECT "Party", COUNT(*) FROM "people" GROUP BY "Party" | 0.053711 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.